M. Uchijima vs P. Hercog — prediction
Consistent bounce, medium-fast: neutral conditions, no style favored.
Warm: the ball flies a little more and fitness counts.
Dry air: the ball travels normally.
Light wind: no noticeable effect.
Surface feeds the model (surface specialization is one of its factors). Weather and altitude are context we publish for you — they do NOT move the probability.
›Ranking: #107 vs #233 (better ranked)
›Model 76% vs market 83% → the model sees it as less likely than the odds
›Recent form: 5/10 in recent matches
!Coming off 3 losses in a row
The model makes M. Uchijima the favorite with a 76% win probability, against P. Hercog's 24% — a conviction read: the model sees the match clearly leaning one way. Converted to odds, that probability is worth about @1.31; the offered odds are around @1.21 (a 83% implied), slightly below the market, so the model is a touch more cautious.
Several factors explain the number: #107 vs #233 (better ranked); model 76% vs market 83% → the model sees it as less likely than the odds; 5/10 in recent matches.
Read it with perspective. Our probability is calibrated — when the model says 76%, that outcome happens roughly that percentage of the time, with ~64% out-of-sample accuracy — but being the favorite is not being the winner: roughly 24 out of every 100 times Hercog wins. The model also tends to agree with the market, so the odds already capture almost all the edge: don't take it as a sure value. Watch out for: Coming off 3 losses in a row. This is informational analysis, not a betting recommendation. 18+ · play responsibly.